Valuations for leading artificial intelligence beneficiaries—Nvidia, Amazon and Microsoft—have slipped to multi-year lows, even as each company continues to post strong operating momentum. The shift has left investors balancing two competing signals: compressed market multiples versus accelerating sales and earnings, according to recent company results cited in the article.
So far this year, the three stocks are described as trailing the S&P 500, with their price-to-earnings benchmarks falling sharply in recent months. The key market question is whether the pullback reflects temporary sentiment or a longer pause in AI spending.
Key takeaways
- Price move/capital market reaction: Nvidia, Amazon and Microsoft have underperformed the S&P 500 year-to-date, with valuations falling to at least five-year lows in recent months.
- Catalyst: Investor concern that AI adoption could slow has pressured multiples, despite ongoing strength in revenue growth and earnings.
- What the companies are delivering: Nvidia reported record revenue and strong data center growth; Amazon highlighted continued AWS reacceleration; Microsoft showed rapid Azure expansion.
- Key implication: If results remain resilient, historical market behavior suggests compressed multiples can recover as investors re-anchor to profit growth.
What drove the valuation squeeze
According to the article, Nvidia is trading at a price-to-earnings multiple of 31, near its lowest level since 2019, despite the company’s continued earnings acceleration. The piece attributes the broader valuation compression across Nvidia, Amazon and Microsoft to a shared concern: investors worry that AI deployment could cool and undermine the earnings power that has supported premium valuations.
While those risks are central to how markets price growth stocks, the article argues that sentiment tends to have a limited shelf life when fundamentals continue to improve, implying the market could eventually shift back toward measurable sales and profit growth.
Results vs. multiples: Nvidia, Amazon and Microsoft
The article highlights that financial performance has not matched the degree of multiple compression.
Nvidia delivered fiscal 2027 first-quarter results ended April 26, the article says. Revenue rose 85% year over year and 20% quarter over quarter to $81.6 billion. Adjusted earnings per share increased 140% to $1.87, supported by record data center revenue of $75 billion, up 92%. Management, as cited in the piece, forecast continued momentum with year-over-year revenue growth of 95% to $91 billion in the second quarter.
Amazon, the article notes, has seen its valuation multiple compressed to a P/E of 25 this year, though it is described as rebounding slightly to 29. On the results side, Amazon reported first-quarter revenue of $182 billion, up 17% year over year, and EPS of $2.78, up 75%. Importantly for investors focused on AI infrastructure demand, the article says AWS revenue rose 28%, indicating a reacceleration in cloud growth.
Microsoft is described as trading at a lower multiple even as growth persists. The article states its P/E ratio fell to 21 late last month, then rebounded slightly to 23, a level last seen around mid-2017. In fiscal 2026 third-quarter results ended March 31, Microsoft revenue increased 18% year over year to $83 billion, while diluted EPS rose 23% to $4.27. The piece points to a 40% increase in Azure Cloud revenue as a key indicator of continued demand.
How investors may read the next move
Beyond the immediate numbers, the article draws a pattern from prior episodes of P/E compression. It claims that in earlier instances where these stocks’ valuation multiples were pushed down to similar levels, investors later saw robust rebounds in those multiples once the companies demonstrated resilience in their financial results.
That interpretation matters because it addresses the gap between fundamentals and market pricing. If AI adoption concerns fade—either because revenue growth remains strong or because management guidance supports a sustained spend cycle—compressed multiples could narrow as investors reprice the earnings trajectory.
At the same time, the catalyst behind the latest pullback remains unresolved in the article. Investors could continue to demand proof that AI infrastructure, cloud services and related software revenue growth can persist without a meaningful slowdown.
Bigger picture: what to watch
For investors weighing these AI bellwethers, the article suggests the most important near-term signal is whether results continue to validate the earnings growth embedded in current expectations. The next checkpoints are company updates and forward guidance: upcoming quarterly earnings reports, management commentary around AI-related demand, and any changes in outlook for data center, cloud and Azure/CSP spending.
Separately, broader market pricing will also hinge on macro conditions that affect long-duration growth equities—particularly expectations for interest rates and inflation—which can amplify or dampen multiple expansion even when operating performance remains strong.
